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postdoctoral researcher to join the ERC Pandora project team. Your work will involve analyzing or designing models of surface processes to estimate their role in the formation of environmental refuge zones
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
implementation will be performed in the open-source code Hawen (https://ffaucher.gitlab.io/hawen-website/ ) developed in the team Makutu, with help from from the developer's team. Phase 1: modeling The first phase
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territories. The pedigrees reconstructed in each populations are sufficient to estimate some simple quantitative genetic parameters, but they are incomplete and contain errors, which greatly limits
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for nutrients, light, temperature, the influence of zooplankton or more generally higher trophic levels, as well as other parameters such as parasitism and allelopathy, if possible. The model can build on
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1: Extension of the coverage and performance of the HLA-Epicheck model through the addition of new antigens. This also includes optimizing the values of certain model parameters. Task 2: Evaluation
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determination of inversion parameters. 2. Vp and Vp/Vs tomographic inversion, analysis and interpretation of results (Vp/Vs in relation to Vp and seismicity). 3. Participation in events (workshops, conferences
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. Optimize the acquisition parameters of 3D-Electron Ptychography (combining ptychography and a limited number of view directions, ie., tomography) and improve or further develop the reconstruction algorithm
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
) algorithms for the identification of unknown BRP model parameters from time-course, single-cell (growth and gene expression) measurements over cell lineages. Develop methods for estimation of unobserved